Artificial Intelligence

KEY MESSAGE: In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence--solving the complex problems that arise wherever computer technology is applied. Artificial Intelligence: Its Rootes and Scope: AI Early History and Applications. Artificial Intelligence as Representation and Search: The Predicate Calculus; Structures and Strategies for State Space Search; Heuristic Search; Stochastic Methods; Building Control Algorithms for State Space Search. Representation and Intelligence: The AI Challenge: Knowledge Representation; Strong Method Problem Solving; Reasoning in Uncertain Situations. Machine Learning: Machine Learning: Symbol-Based; Machine Learning: Connectionist; Machine Learning: Social and Emergent; Machine Learning: Probabilistically-Based. Advanced Topics for AI Problem Solving: Automated Reasoning; Understanding Natural Language. Epilogue: Artificial Intelligence as Empirical Enquiry.Languages and Programming Techniques for Artificial Intelligence: An Introduction to Prolog; An Introduction to Lisp; An Introduction to AI Algorithms in Java. For all readers interested in artificial intelligence.